Offer summary

Qualifications:

Bachelor of Engineering or Computer Science with 7 years of experience, or MCA/MS in Computer Science with 5 years of experience., Hands-on experience in Architecture or Data Science, particularly with SQL Server and RDBMS platforms., In-depth knowledge of database structures, data modeling, and complex SQL queries., Familiarity with Azure technologies is preferred, including Azure Data Lake and Azure Data Factory..

Key responsibilities:

Deliver high-quality modern data solutions through collaboration with team members and clients.

Manage projects ranging from client assessments to multi-year engagements with large teams.

Write complex SQL queries and manage data transformation and quality during data transfer.

Construct data science and machine learning pipelines, ensuring effective prioritization and execution of tasks.

Job description

Hello candidate,

We are hiring for Azure Data Engineer / Architect.

Location- Bangalore

Exp-7 yrs+

Responsibilities:

Senior Data Engineers are responsible for delivering high quality modern data solutions through collaboration with our team and our customers. Projects may range from short term client assessments through multiyear delivery engagements with large, blended teams.

Requirements (as much as possible, not all is mandatory):

Hands-on experience working at a high level in Architecture or Data Science or combination.
Hands on experience specifically working on SQL Server and other RDBMS platforms
In-depth understanding of database structure principles, Data modelling, pipelining, preparing the data for the purpose of analytics.
In-depth experience in writing complex SQL queries, Stored procedures, Views, Triggers, integrating different varieties of data from sources, real-time streamlining the data/creating replication
In depth ability to work on Data Transformation, managing and maintaining the Data quality/data types during the data transfer and transformation stages.
Azure skills preferred, but not mandatory, including provisioning, Configuring, and Developing solutions in Azure Data Lake, Azure Data Factory, Azure Analysis Services, Azure Databricks, etc. Must be ready to pickup on these technologies, if not worked earlier.
Distributed Data Processing of big data batch or streaming pipelines.
Construction of data science and machine learning research and production pipelines.
Problem-solving attitude
Highly self‐motivated, self‐directed, and attentive to detail
Ability to effectively prioritize and execute tasks.
Attitude and aptitude are of high importance

Important Skills

Azure SQL Data Warehouse
Azure Data Factory
Azure Data Lake
Azure Analysis Services
Databricks/Spark
Python or Scala (Python preferred)
Power BI
Database migration from legacy systems to new solutions
Design conceptual, logical and physical data models using tools like ER Studio, Erwin

Additional skills: